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Temporal clues in handwriting

Temporal clues in handwriting

引用

International conference on Pattern Recognition

作者： D.S. Doermann A. Rosenfeld Computer Vision Laboratory University of Maryland College Park MD USA

Handwritten character recognition is typically classified as online or offline depending on the nature of the input data. Online data consists of a temporal sequence of instrument positions while offline data is in the form of a 2D image of the writing sample. Online recognition techniques have been relatively successful but have the disadvantage of requiring the data to be gathered during the writing process. this paper presents work on the extraction of temporal information from static images of handwriting and its implications for character recognition.< >

关键词： Handwriting recognition Writing Text recognition Character recognition Instruments Pattern recognition Space technology Shape Signal processing computer vision

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A computational vision approach to image registration

A computational vision approach to image registration

引用

International conference on Pattern Recognition

作者： Q. Zheng R. Chellappa Signal and Image Processing Institute University of Southern California Los Angeles CA USA Department of Electrical Engineering Center for Automation Research University of Maryland College Park MD USA

Automatic image registration is important for many multiframe-based image analysis applications. In this paper, a computational vision approach is presented for the estimation of 2-D translation, rotation, and scale from two partially overlapping images. the approach has the following features: (1) an illuminant direction estimator is used to obtain an initial estimate of camera rotation; (2) feature points are located based on a Gabor wavelet model for detecting local curvature discontinuities; (3) estimation of rotation and translation is formulated as a linear problem; and (4) hierarchical coarse-to-fine matching is used. this results in a fast and novel algorithm that produces good results even when large rotations and scale changes have occurred between the two frames and the images are devoid of significant features. Several applications of the algorithm are presented.< >

关键词： computer vision image registration Cameras Motion estimation Object detection image motion analysis Robustness Feature extraction Forward contracts Coordinate measuring machines

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A VLSI architecture for hierarchical scene matching

A VLSI architecture for hierarchical scene matching

引用

International conference on Pattern Recognition

作者： R. Venkatesan R. Sastry N. Ranganathan Center for Microelectronics Research Department of Computer Science and Engineering University of South Florida Tampa FL USA

Scene matching is the problem of matching regions of two images of the same scene taken by different sensors at different times or under different viewing conditions. Hierarchical scene matching generates a multiresolution pyramid of the images to be matched. the authors describe hierarchical scene matching technique, related work and their proposed VLSI architecture. they present a description of the three subsystems-pyramid generation block, exhaustive search block and template match block. then they briefly describe the performance attainable with the proposed architecture which uses a large amount of parallelism and pipelining.< >

关键词： Very large scale integration Layout computer architecture Hardware Testing Microelectronics computer science Pipeline processing image resolution Software algorithms

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image representation using vector wavelets

Image representation using vector wavelets

引用

International conference on Pattern Recognition

作者： Y.V. Venkatesh K. Ramani R. Nandini Computer Vision Artificial Intelligence Laboratory Department of Electrical Engineering Indian Institute of Science Bangalore India

A new layered representation of images is proposed using, what one may call, vector wavelets defined by generalized Hermite polynomials. this representation has some special properties: it is distinct from and superior to the other wavelet schemes of the literature; it is stable; it transforms the image into matrices of coefficients in the same manner as the standard transforms (Fourier, Hadamard and others), but at the specified 'scales'; the zero-crossings of the signal at various scales can be directly obtained from the coefficients; and the size of the resolution cell in the 'phase-space' is variable even at a specified scale, depending on the image being analysed. this representation has been successfully applied to different types of images, both synthetic and natural.< >

关键词： image representation Fourier transforms Wavelet transforms Polynomials Wavelet analysis Error correction Error correction codes image resolution Signal resolution image analysis

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A Hough transform based approach to polyline approximation of object boundaries

A Hough transform based approach to polyline approximation o...

引用

International conference on Pattern Recognition

作者： A.K. Gupta S. Chaudhury G. Parthasarathy Electronics & Electrical Communication Engineering Department Indian Institute of Technology Kharagpur India Dept. of Electron. & Electr. Commun. Eng. Indian Inst. of Technol. Kharagpur India

A technique is presented for obtaining a polygonal approximation of object contours directly from the edge images. the technique is based on a new formulation of the Hough transform (HT) for aggregation of edge points into line segments. the space requirement of the HT is brought down by considering a different parameterization of straight lines. In this method, the process of edge linking and boundary approximation are combined into a single algorithm. Consequently, the scheme is computationally more efficient than the classical boundary approximation techniques which require use of a separate edge linking algorithm. Experimental results highlight the effectiveness of this method for approximating object boundaries of polygonal as well as curved shapes present in the images of complex multi-object scenes.< >

关键词： Joining processes image segmentation image edge detection Space technology Approximation algorithms Shape Layout computer vision Dynamic programming H infinity control

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Proteus: a reconfigurable computational network for computer vision

Proteus: a reconfigurable computational network for computer...

引用

International conference on Pattern Recognition

作者： R.M. Haralick A.K. Somani C. Wittenbrink R. Johnson K. Cooper L.G. Shapiro I.T. Phillips J.-N. Hwang W. Cheung Y.H. Yao C.H. Chen L. Yang B. Daugherty B. Lorbeski K. Loving T. Miller L. Parkins S. Soos Department of Electrical Engineering FT-10 Applied Physics Laboratory HN-10 University of Washington Seattle WA USA

the Proteus architecture is a highly parallel MIMD, multiple instruction, multiple-data machine, optimized for large granularity tasks such as machine vision and image processing. the system can achieve 20 Giga-flops (80 Giga-flops peak). It accepts data via multiple serial links at a rate of up to 640 megabytes/second. the system employs a hierarchical reconfigurable interconnection network with the highest level being a circuit switched Enhanced Hypercube serial interconnection network for internal data transfers. the system is designed to use 256 to 1024 RISC processors. the processors use one megabyte external Read/Write Allocating Caches for reduced multiprocessor contention. the system detects, locates, and replaces faulty subsystems using redundant hardware to facilitate fault tolerance.< >

关键词： computer vision computer networks Multiprocessor interconnection networks computer architecture Machine vision image processing Switching circuits Hypercubes Reduced instruction set computing Electrical fault detection

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Study of affine image warping on a linear processing array

Study of affine image warping on a linear processing array

引用

International conference on Pattern Recognition

作者： G. Gusciora J.A. Webb Electrical and Computer Engineering Department Carnegie Mellon University Pittsburgh PA USA School of Computer Science Carnegie Mellon University Pittsburgh PA USA

Several methods for parallel affine image warping on a linear processor array are considered. the methods were implemented on the Carnegie Mellon Warp machine and the Carnegie Mellon-Intel Corporation iWarp computer (treated as a linear array), and performance figures are provided. Both systolic methods, which feed one of the images in a stream, and non-systolic methods, which partition both images, are treated. A scanline method that combines some of the features of both, but which requires a fast transposed method is also described. the authors articulate three characteristics that affect the design of parallel image warping algorithms: affine warping is easily invertible, the mapping is known at the start of execution, and nearby input pixels map to nearby output pixels. the authors conclude that non-systolic methods give slightly better execution time and are easier to programs than systolic methods but require much larger processor memories.< >

关键词： Interpolation Forward contracts Lagrangian functions Polynomials Pixel Runtime Distributed computing Parallel machines Concurrent computing Feeds

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A unified approach to the segmentation of grey-level and dot-pattern images

A unified approach to the segmentation of grey-level and dot...

引用

International conference on Pattern Recognition

作者： A.C.F. Colchester G.P. Robinson L.D. Griffin Department of Neurology Guys Hospital UMDS London UK

the authors show the close relationship between two algorithms developed in their laboratory: (1) for segmenting grey-scale images and (2) for grouping patterns of dots or disconnected edge fragments. In both cases the output consists of objects each of which is bounded by a closed contours and contains a skeleton whose components are explicitly linked to boundary components. the second algorithm accomplishes a type of perceptual grouping which has often been regarded as implying a different type of processing from earlier segmentation steps. the authors suggest that early segmentation and later perceptual grouping can be, and should be, considered as fundamentally similar processes.< >

关键词： image segmentation Morphology Skeleton Tin Nervous system Hospitals Operating systems Cellular neural networks computer vision Filters

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Unsupervised texture segmentation based on the modified Markov random field model

Unsupervised texture segmentation based on the modified Mark...

引用

International conference on Pattern Recognition

作者： Y. Xiaohan J. Yla-Jaaski Graphic Arts Laboratory Technical Research Centre of Finland (VTT) Espoo Finland

the Gaussian-Markov random field (MRF) model is a very useful technique for image processing, such as feature extraction and data compression. However its strict stability condition makes the model identification complex. the major problem is the choice of a proper support region for the model. In this paper a new model is proposed which is based on the MRF model and called the modified Gaussian-Markov random field model. It is not an optimal MRF model but has a very useful property, namely decorrelation. A stable modified MRF model always exists even if a stable MRF model does not exist on the given support region. Applications to texture segmentation are also presented.< >

关键词： Markov random fields image segmentation Gaussian processes Stability Predictive models Decorrelation computer vision Statistical distributions Parameter estimation image edge detection

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High speed and continuous 3-D measurement system

High speed and continuous 3-D measurement system

引用

International conference on Pattern Recognition

作者： K. Araki M. Shimizu T. Noda Y. Chiba Y. Tsuda K. Ikegaya K. Sannomiya M. Gomi School of Computer and Cognitive Sciences Chukyo University Japan Graduate School of Nagoya Institute of Technology Japan R & D Group Matsushita Research Institute Tokyo Inc. Japan

A new system for high speed and continuous 3-D measurement is presented. It is based on the slit-ray projection method. Remarkable features of the system-high speed and continuous measurement-mainly result from its image plane constructed by a PSD array which is horizontally non-divided and linear, but vertically divided in numbers. All row PSD elements are attached to respective analog signal processors; analog signals are digitized through A/D converters and stored in memory elements in order. By the virtue of this image plane configuration basic data for 3-D measurement are acquired during only one scanning of the slit-ray at high speed in the form of addresses of the memory elements and data stored in them. Moreover, using large capacity and/or dual port memories, one may continuously obtain 3-D range data of as many scenes as one wants. A trial system has been implemented using a newly designed PSD array of 128 channels and it has verified the method, obtaining 3-D range data at video rates continuously in an accuracy within +or-0.3%.< >

关键词： Velocity measurement Layout Data acquisition Signal processing Radio access networks Application software computer vision Robot vision systems Stereo vision Art

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